Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability
Countries citing papers authored by Yvonne Barnard
Since
Specialization
Citations
This map shows the geographic impact of Yvonne Barnard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yvonne Barnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvonne Barnard more than expected).
This network shows the impact of papers produced by Yvonne Barnard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yvonne Barnard. The network helps show where Yvonne Barnard may publish in the future.
Co-authorship network of co-authors of Yvonne Barnard
This figure shows the co-authorship network connecting the top 25 collaborators of Yvonne Barnard.
A scholar is included among the top collaborators of Yvonne Barnard based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Yvonne Barnard. Yvonne Barnard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Smith, Scott, et al.. (2020). Building feedback into modelling impacts of automated vehicles: Developing a consensus model and quantitative tool. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 387.2 indexed citations
Barnard, Yvonne, et al.. (2014). UDRIVE: the European naturalistic driving study. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).41 indexed citations
8.
Barnard, Yvonne, et al.. (2014). A Platform for sharing data from field operational tests. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 3721–3725.1 indexed citations
9.
Carsten, Oliver, Frank Lai, Yvonne Barnard, A. Hamish Jamson, & Natasha Merat. (2012). Control Task Substitution in Semiautomated Driving. Human Factors The Journal of the Human Factors and Ergonomics Society. 54(5). 747–761.256 indexed citations
Hoog, Robert de, et al.. (2002). Re-using technical manuals for instruction: creating instructional material with the tools of the IMAT project.. University of Twente Research Information. 27–38.9 indexed citations
13.
Verstegen, Daniëlle, et al.. (2000). Stappenplan voor de Behoeftestelling voor GOLMen (Development and Needs Statement for Advanced Training Systems). Defense Technical Information Center (DTIC).1 indexed citations
14.
Hoog, Robert de, Yvonne Barnard, & Bob Wielinga. (1999). IMAT:Re-using Multimedia Electronic Technical Documentation for Training.. UvA-DARE (University of Amsterdam). 408–415.3 indexed citations
15.
Barnard, Yvonne, et al.. (1998). Report on the Evaluation Results of the Course "Mechanic Undercarriage Leopard 2". 123(6). 465–72.1 indexed citations
16.
Someren, Maarten W. van, Yvonne Barnard, & Jacobijn Sandberg. (1994). The think aloud method. Academic Press eBooks.85 indexed citations
17.
Barnard, Yvonne, et al.. (1994). The think aloud method: a practical approach to modelling cognitive processes. Knowledge-Based Systems.139 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.